BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

59 related articles for article (PubMed ID: 18215906)

  • 1. Analysis of mammographic microcalcifications using gray-level image structure features.
    Dhawan AP; Chitre Y; Kaiser-Bonasso C
    IEEE Trans Med Imaging; 1996; 15(3):246-59. PubMed ID: 18215906
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Computerized analysis of mammographic microcalcifications in morphological and texture feature spaces.
    Chan HP; Sahiner B; Lam KL; Petrick N; Helvie MA; Goodsitt MM; Adler DD
    Med Phys; 1998 Oct; 25(10):2007-19. PubMed ID: 9800710
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Texture analysis of tissue surrounding microcalcifications on mammograms for breast cancer diagnosis.
    Karahaliou A; Skiadopoulos S; Boniatis I; Sakellaropoulos P; Likaki E; Panayiotakis G; Costaridou L
    Br J Radiol; 2007 Aug; 80(956):648-56. PubMed ID: 17621604
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Multimodality computerized diagnosis of breast lesions using mammography and sonography.
    Drukker K; Horsch K; Giger ML
    Acad Radiol; 2005 Aug; 12(8):970-9. PubMed ID: 16087091
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Image segmentation feature selection and pattern classification for mammographic microcalcifications.
    Fu JC; Lee SK; Wong ST; Yeh JY; Wang AH; Wu HK
    Comput Med Imaging Graph; 2005 Sep; 29(6):419-29. PubMed ID: 16002263
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Differential diagnosis of CT focal liver lesions using texture features, feature selection and ensemble driven classifiers.
    Mougiakakou SG; Valavanis IK; Nikita A; Nikita KS
    Artif Intell Med; 2007 Sep; 41(1):25-37. PubMed ID: 17624744
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Automated classification of clustered microcalcifications into malignant and benign types.
    Veldkamp WJ; Karssemeijer N; Otten JD; Hendriks JH
    Med Phys; 2000 Nov; 27(11):2600-8. PubMed ID: 11128313
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Image feature selection by a genetic algorithm: application to classification of mass and normal breast tissue.
    Sahiner B; Chan HP; Wei D; Petrick N; Helvie MA; Adler DD; Goodsitt MM
    Med Phys; 1996 Oct; 23(10):1671-84. PubMed ID: 8946365
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Are signal intensity and homogeneity useful parameters for distinguishing between benign and malignant soft tissue masses on MR images? Objective evaluation by means of texture analysis.
    Mayerhoefer ME; Breitenseher M; Amann G; Dominkus M
    Magn Reson Imaging; 2008 Nov; 26(9):1316-22. PubMed ID: 18448302
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Classification of mass and normal breast tissue: a convolution neural network classifier with spatial domain and texture images.
    Sahiner B; Chan HP; Petrick N; Wei D; Helvie MA; Adler DD; Goodsitt MM
    IEEE Trans Med Imaging; 1996; 15(5):598-610. PubMed ID: 18215941
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Solid waste bin level detection using gray level co-occurrence matrix feature extraction approach.
    Arebey M; Hannan MA; Begum RA; Basri H
    J Environ Manage; 2012 Aug; 104():9-18. PubMed ID: 22484654
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Classification of breast microcalcifications: radiological-pathological correlation.
    Sun Z; Liang HW; Xu HM
    Chin Med J (Engl); 2005 Sep; 118(17):1429-35. PubMed ID: 16157045
    [TBL] [Abstract][Full Text] [Related]  

  • 13. A wavelet-based optimal texture feature set for classification of brain tumours.
    Sasikala M; Kumaravel N
    J Med Eng Technol; 2008; 32(3):198-205. PubMed ID: 18432467
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Full Intelligent Cancer Classification of Thermal Breast Images to Assist Physician in Clinical Diagnostic Applications.
    Lashkari A; Pak F; Firouzmand M
    J Med Signals Sens; 2016; 6(1):12-24. PubMed ID: 27014608
    [TBL] [Abstract][Full Text] [Related]  

  • 15. A novel method for breast cancer prognosis using wavelet packet based neural network.
    H Jamarani S; Rezai-Rad G; Behnam H
    Conf Proc IEEE Eng Med Biol Soc; 2005; 2005():3414-7. PubMed ID: 17280956
    [TBL] [Abstract][Full Text] [Related]  

  • 16. An Automatic Detection and Localization of Mammographic Microcalcifications ROI with Multi-Scale Features Using the Radiomics Analysis Approach.
    Mahmood T; Li J; Pei Y; Akhtar F; Imran A; Yaqub M
    Cancers (Basel); 2021 Nov; 13(23):. PubMed ID: 34885026
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Detection and classification of Breast Cancer in Wavelet Sub-bands of Fractal Segmented Cancerous Zones.
    Shirazinodeh A; Noubari HA; Rabbani H; Dehnavi AM
    J Med Signals Sens; 2015; 5(3):162-70. PubMed ID: 26284172
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Adaptive color reduction.
    Papamarkos N; Atsalakis AE; Strouthopoulos CP
    IEEE Trans Syst Man Cybern B Cybern; 2002; 32(1):44-56. PubMed ID: 18238103
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Microcalcification detection in 3-d breast ultrasound.
    Chang RF; Huang SF; Wang LP; Chen DR; Moon WK
    Conf Proc IEEE Eng Med Biol Soc; 2005; 2005():6297-300. PubMed ID: 17281707
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Region-based contrast enhancement of mammograms.
    Morrow WM; Paranjape RB; Rangayyan RM; Desautels JL
    IEEE Trans Med Imaging; 1992; 11(3):392-406. PubMed ID: 18222882
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 3.